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2017 GTC San Jose

S7178 - Bidirectional Recurrent Convolutional Networks and Their Applications to Video Super-Resolution

Session Speakers
Session Description

We'll discuss a fully convolutional version of recurrent neural networks, namely bidirectional recurrent convolutional networks, which can greatly reduce the number of learning parameters from millions to several hundreds. We'll demonstrate its effectiveness by achieving significant performance and running time improvements for the task of video super-resolution. Using GPUs can further accelerate the speed by 20 times.


Additional Session Information
All
Talk
Deep Learning and AI Video and Image Processing
Higher Education / Research Media & Entertainment
25 minutes
Session Schedule